Genetic improvement of soybeans in Brazil: South and Midwest regions-Reference-Cited by-同舟云学术

Genetic improvement of soybeans in Brazil: South and Midwest regions

Published:2022-09-15 Issue:6 Volume:62 Page:2276-2293
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Milioli Anderson Simionato¹,Meira Daniela¹,Panho Maiara Cecília¹,Madella Laura Alexandra¹,Woyann Leomar Guilherme¹,Todeschini Matheus Henrique²,Zdziarski Andrei Daniel³,Ramos Campagnolli Otávio¹,Menegazzi Caroline Patrícia¹,Colonelli Lucas Leite¹,Fernandes Rogê Afonso Tolentino¹,Melo Carlos Lásaro Pereira de⁴,Fernandes de Oliveira Marcelo⁴,Bertagnolli Paulo Fernando⁵,Arias Carlos Alberto Arrabal⁴,Giasson Nizio Fernando⁶,Matsumoto Marcos Norio⁶,Quiroga Marcos⁷,Rossi Silva Raphael⁸,Bertan Ivandro⁹,Capelin Marcio Andrei¹⁰,Matei Gilvani¹⁰,Benin Giovani¹^ORCID

Affiliation:

1. Dep. de Agronomia Univ. Tecnológica Federal do Paraná Via do Conhecimento, Km 01 Pato Branco PR CEP 85503‐390 Brazil

2. TMG Tropical Melhoramento e Genética Av. Ary Coelho, 1391, Jardim Esmeralda Rondonópolis MT CEP 78705‐849 Brazil

3. GDM Seeds 2408B Phillips Dr Jonesboro AR 72401 USA

4. Embrapa Soja Rod. Carlos João Strass, Acesso Orlando Amaral, Distrito de Warta Londrina PR CEP 86085‐981 Brazil

5. Embrapa Trigo Rod. BR 285, Km 294 Passo Fundo RS CEP 99050‐970 Brazil

6. GDM Seeds Rua Antonio Rasteiro Filho, 2700 Cambé PR CEP 86183–751 Brazil

7. GDM Seeds Monseñor Magliano 3061 Martínez Buenos Aires B1642 Argentina

8. TMG Tropical Melhoramento e Genética Rod. Celso Garcia Cid, Km 87 Cambé PR CEP 86183–600 Brazil

9. Syngenta Rod. BR 452, Km 142 Uberlândia MG CEP 38400–974 Brazil

10. Syngenta Rua Paraná, 1241 Cascavel PR CEP 85812‐010 Brazil

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20820

Reference61 articles.

1. Ganho genético em soja no estado do Paraná, via melhoramento, no período de 1985/86 a 1989/90;Alliprandini L. F.;Pesquisa Agropecuária Brasileira,1993

2. Alvarado G. López M. Vargas M. Pacheco A. Rodríguez F. Burgueño J. &Crossa J.(2015).META‐R (Multi‐Environment Trial Analysis with R for Windows) user's manual Version 6.0. InCIMMYT Research Data and Software Repository Network(pp. 1–34).

3. META-R: A software to analyze data from multi-environment plant breeding trials

4. Genetic Improvement of US Soybean in Maturity Groups V, VI, and VII

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